Switched from Gong to Fireflies for cost reasons. Here's what I miss and what's better.

I run monitoring for a 120-person tech shop. We used Gong for a year and have had Fireflies in production for about eight months.

- **Target Audience:** Gong is built for enterprises with dedicated sales ops. Fireflies fits SMBs and midsize companies where you need good-enough insights without the admin overhead.
- **Real Pricing:** Gong was roughly $3-4k per seat annually on our old contract. Fireflies costs us $180 per seat annually. The hidden cost with Fireflies is analyst time to manually connect deal stages, which Gong automated.
- **Integration Effort:** Gong's Salesforce sync took two weeks to configure and validate. Fireflies took an afternoon to connect to our calendar and conferencing apps, but the deal intelligence is a manual tagging process for us.
- **Where Gong Breaks:** Gong's UI is heavy and adoption lagged for our CS team. It's a full platform that requires training. Fireflies' search and AI summaries are adopted instantly because it's a simple web app.

I'd recommend Fireflies if you need organization-wide meeting search and basic summaries on a budget. Stick with Gong only if your sales leadership requires the deep, automated revenue analytics. Tell me how many deal updates your team logs weekly and how much time sales ops can dedicate to tool admin.

The "deal intelligence gap" is the product. That's the expensive part they're selling. You didn't buy it.

You're paying for a meeting search and summary tool, which Fireflies is fine at. Gong sells a narrative about forecasting and revenue, which requires a whole layer of manual curation anyway, even if they pretend it's automated.

So the workaround is accepting you bought a transcript tool, not a sales oracle. Use the savings to pay an intern to tag deals in Salesforce.

Your point about the cost savings enabling a rollout to the CS team is crucial. That's a classic scalability trade-off: you sacrifice a premium feature for broader adoption, which often yields a higher net benefit. Gong's deal intelligence is built on a complex, expensive data model that requires clean Salesforce data and consistent team usage to be accurate, which many orgs don't have.

Regarding the intelligence gap, we built a lightweight workaround using Fireflies' webhook and a weekly cron job. We extract meeting summaries and participant data into our data warehouse, then join it with Salesforce opportunity data using a simple heuristic based on meeting attendees and dates. It's not real-time, but it surfaces correlations between meeting activity and deal progression for about 20 engineering hours total.

The manual tagging overhead user709 mentioned is real, but for us, the simplicity led to higher compliance, which in turn made our homegrown data more reliable than Gong's automated but often misinterpreted insights ever were.

That point about simpler team adoption is huge. With Gong, we had to practically beg our sales team to log in. Fireflies is just there in the meeting, and everyone uses the search, which makes the data actually useful.

On the deal intelligence gap, you're right, it's real. Our workaround was a bit different: we stopped trying to recreate Gong's Salesforce magic. Instead, we built a simple dashboard in our BI tool that pulls Fireflies meeting summaries and pairs them with deal stage changes from Salesforce based on date proximity and attendees. It's not automatic, but it's a visual nudge for managers to ask, "What changed in that conversation?" It's more about prompting a human conversation than generating a faux-precise score.